Staff Data Engineer

Social Finance, Inc. (SoFi); Snowflake (AZ); On-site; USD 144,000 - 248,000; Full time

Job summary

An established industry player is on the lookout for a Staff Data Engineer to lead their Data Engineering group. This pivotal role involves designing robust data architectures and pipelines that empower teams across the organization to make data-driven decisions. You will work at the intersection of data and engineering, tackling big data challenges with innovative solutions. Join a forward-thinking company that values your expertise and offers opportunities for personal and professional growth. If you're passionate about transforming data into actionable insights, this is the perfect opportunity for you!

Benefits

Bonus

Long-term incentives

Competitive benefits

Qualifications

• 8+ years of experience in data engineering and analytics with a proven track record.
• Proficiency in Python, SQL, and data engineering tech stack.

Responsibilities

• Lead the data engineering team and provide strategic guidance.
• Design and develop data architectures and pipelines for data processing.

Skills

Data Engineering

Analytical Skills

Problem-Solving

Data Modeling

Database Design

Cloud Technologies

Python

SQL

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Data Science

Bachelor’s Degree in Engineering

Tools

Snowflake

PostgreSQL

GitLab

AWS

Airflow

Job description

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

SoFi is seeking an experienced and motivated Staff Data Engineer to be the technical leader of our Data Engineering group within the Data Enablement division. The mission of the Data Enablement division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members.

As a technical leader, you will help lead the vision and strategy to build foundational and critical data products which are highly leveraged across SoFi for offline analytical, reporting, and machine learning use-cases as well as more critical online use cases. Our goal is to empower all teams at SoFi to make data-driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.

Role:

• A talented, enthusiastic, and detail-oriented experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines.
• Leads development of some of the most critical data pipelines and datasets and expands self-service data knowledge and capabilities.
• Build scalable foundational data models that can be highly leveraged across SoFi for analytical, reporting, and machine learning.
• This role requires you to live at the cross-section of data and engineering.
• You have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines.

What you’ll do:

• Provide technical leadership and strategic guidance to the data engineering team.
• Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval.
• Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure.
• Optimize data engineering systems and processes to handle large-scale data sets efficiently.
• Design solutions that can scale horizontally and vertically.
• Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements, influence best practices upstream and down, and deliver solutions that meet business needs.
• Effectively communicate complex technical concepts and trade-offs to non-technical stakeholders and senior management verbally and in well-written technical documents.
• Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations.
• Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls.
• Provide mentorship and guidance to the data engineering team, fostering a culture of continuous learning, innovation, and excellence.
• Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce.
• Be part of an on-call support rotation to support the EDW.

What You'll Need:

• A bachelor’s degree in computer science, Data Science, Engineering, or a related field.
• Over 8 years of experience in data engineering and analytics, with a proven track record of successfully building data teams.
• Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow.
• Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP.
• Strong in Python and/or another data-centric language.
• Thorough knowledge and passion around data modeling, database design, data architecture principles, and data operations.
• Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
• Experience in a highly regulated and governed sector, though the Fintech industry is advantageous.

Compensation and Benefits:

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

Pay range: $144,000.00 - $247,500.00

Payment frequency: Annual

This role is also eligible for a bonus, long-term incentives, and competitive benefits. More information about our employee benefits can be found in the link above.